Join Amazon Enterprise Engineering in building a cutting-edge, self-service data governance platform. This greenfield initiative is designed to manage how employee data across critical internal systems like Slack, M365, and WorkDocs is accessed, classified, and audited for privacy and legal compliance. You'll be instrumental in developing a full-stack solution, from the user-facing request portal to a robust policy rules engine and high-scale data pipelines.

This role offers a unique opportunity to shape the future of data governance at Amazon. You will collaborate directly with Legal, Privacy, and Security stakeholders to translate complex policy requirements into enforceable logic. Engineers on this team own significant project areas and contribute to systems that will govern data access for every Amazonian.

As a Software Development Engineer, you will be responsible for the end-to-end design, development, and deployment of innovative software solutions.

Key responsibilities include: - Crafting and implementing software that addresses critical data governance and privacy enforcement needs. - Collaborating closely with stakeholders from Legal, Privacy, and Security to understand requirements and deliver impactful technical solutions. - Writing high-quality, maintainable code, participating actively in code reviews, and mentoring team members. - Identifying and resolving operational issues to continuously enhance system reliability and performance. - Exploring and integrating emerging technologies, such as Generative AI, to boost team productivity and elevate software quality.

We are seeking a talented Software Development Engineer with a solid foundation in software development and a passion for building impactful systems.

Minimum qualifications include: - A Bachelor's degree or an equivalent practical experience. - A minimum of 3 years of professional software development experience, excluding internships.

Preferred qualifications: - Demonstrated experience in contributing to the architecture and design of scalable and reliable systems, including an understanding of design patterns.